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Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on

Date 10-13 July 2000

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  • Proceedings of the Third International Conference on Information Fusion (Cat. No.00EX438)

    Publication Year: 2000
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  • A fuzzy logic resource manager and underlying data mining techniques

    Publication Year: 2000 , Page(s): WEB1/3 - WEB1/9 vol.2
    Cited by:  Papers (2)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (678 KB)  

    A fuzzy logic-based expert system has been developed that automatically allocates electronic attack (EA) resources in real-time over many dissimilar platforms. The platforms can be very general, eg. ships, planes, robots, land-based facilities, etc. The potential foes the platforms deal with can also be general. This paper describes data mining activities related to development of the resource man... View full abstract»

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  • Optimal passive receiver location for angle tracking

    Publication Year: 2000 , Page(s): WEB1/10 - WEB1/15 vol.2
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (481 KB)  

    Presents a class of optimization problems dealing with selecting a measurement strategy at each instant of time for a passive receiver. The basic problem is then to compute an optimal policy, during a specified observation time interval, so that the prediction accuracy is optimized. This problem of measurement strategy computation can be transformed into a deterministic control problem. It is show... View full abstract»

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  • Sensor management - control and cue

    Publication Year: 2000 , Page(s): WEB1/16 - WEB1/21 vol.2
    Cited by:  Papers (2)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (413 KB)  

    Presents the role of sensor management with respect to the sensor system and the fusion process. The important roles and functions of sensor management are discussed. A multi-level classification of the sensor management is presented. The control and cueing aspects of sensor management are explored. An experiment is set up to demonstrate a sensor manager controlling an electro-optical (EO) sensor'... View full abstract»

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  • Scheduling active and passive measurements [tracking systems]

    Publication Year: 2000 , Page(s): WEB1/22 - WEB1/29 vol.2
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (673 KB)  

    Many tracking systems involve basically active and passive subsystems. If it can be reasonably assumed that passive measurements have no "cost", this is not true for active measurements. So, a general problem is to schedule active measurements so as to combine them optimally with the passive ones. More generally, we are interested in optimising controls in the estimation procedure. View full abstract»

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  • Fast stereo matching using multilevel enhancement

    Publication Year: 2000 , Page(s): WEB3/3 - WEB3/8 vol.2
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (491 KB)  

    Presents a new approach for fast and accurate stereo correspondence. We address some of the efficient and robust implementation aspects of stereo matching algorithms based on thresholding the correlation values of previous pyramid structures that reduce the search area for finding the best matching point. The disparity for each scan line is chosen by selecting the position that gives the maximum c... View full abstract»

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  • A multilevel Bayesian network approach to image sensor fusion

    Publication Year: 2000 , Page(s): WEB3/9 - WEB316 vol.2
    Cited by:  Papers (1)  |  Patents (15)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (817 KB)  

    "Automatic main subject detection" refers to the problem of determining salient or interesting regions in an image. We propose the use of a Bayesian network-based approach to solving this problem in the unconstrained domain of consumer photographic images. Various image sensors, derived from the classical computer vision literature as well as other sources, can provide evidence about main subject ... View full abstract»

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  • 3D structure and motion recovery by fusing range and intensity image sequences

    Publication Year: 2000 , Page(s): WEB3/17 - WEB3/23 vol.2
    Cited by:  Papers (1)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (504 KB)  

    Proposes a 3D dynamic image reconstruction method based on the fusion of data from sequences of range and intensity images. The vision system acquires both images of the scene at each time instance. We use a line segment description of the objects of the scene, and more precisely a point representation of the segment described by its extremities. The detailed solution to this estimation problem li... View full abstract»

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  • Ontology-based design of surveillance systems with NUT

    Publication Year: 2000 , Page(s): WEB4/3 - WEB4/9 vol.2
    Cited by:  Papers (1)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (623 KB)  

    This paper covers ontology-based programming, using the NUT language as a notation for the semantics of domain knowledge. A specification method and problem-solving techniques are demonstrated on an example of modeling and management of a radar surveillance system in order to find the optimal disposition and configuration of equipment. The structural synthesis of programs - a technique that is ess... View full abstract»

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  • A block-adaptive blind separation algorithm for post-nonlinear mixture of sub- and super-Gaussian signals

    Publication Year: 2000 , Page(s): WEB4/10 - WEB4/17 vol.2
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (529 KB)  

    The problem of blind separation of signals in a post-nonlinear mixture is addressed in this paper. A post-nonlinear mixture is formed by a component-wise nonlinear distortion of a linear mixture. Hence, a nonlinear adjusting part, placed in front of the linear separation structure, is needed to compensate for the distortion in separating such signals. The learning rules for the post-nonlinear sepa... View full abstract»

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  • Neural networks for sonar and infrared sensors fusion

    Publication Year: 2000 , Page(s): WEB4/18 - WEB4/25 vol.2
    Cited by:  Papers (1)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (689 KB)  

    The main goal of our work is to have a robot navigating in unknown and not-specially-structured environments, and performing delivery-like tasks. This robot has both unreliable sonar and infrared sensors. To cope with the unreliability, a sensor fusion method is needed. The main problem when applying classical fusion methods is that there is no a-priori model of the environment, because the robot ... View full abstract»

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  • Expanded researching on knowledge discovery

    Publication Year: 2000 , Page(s): WEB4/26 - WEB4/34 vol.2
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (848 KB)  

    The development of database technology, every-increasing needs of enterprise management for decision-making support and the comprehensive application of AI are driving the theories and technology of data mining and knowledge discovery. In recent years, data mining and knowledge discovery have been paid more attention and all kinds of algorithms and tools are blooming. Their characteristics are ove... View full abstract»

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  • Comparative analysis of alternative ground target tracking techniques

    Publication Year: 2000 , Page(s): WEB5/3 - WEB510 vol.2
    Cited by:  Papers (5)  |  Patents (4)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (689 KB)  

    There have been a lot of studies addressing target tracking problems, in which targets like aircraft and missiles can move freely in the air without hard spatial constraints. Tracking ground targets is a completely different case. Variable terrain structures not only limit the target's moving capability, but also degrade the quality of measurement data. The paper describes an exploratory research ... View full abstract»

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  • Road detection and vehicles tracking by vision for an on-board ACC system in the VELAC vehicle

    Publication Year: 2000 , Page(s): WEB5/11 - WEB5/18 vol.2
    Cited by:  Papers (1)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (785 KB)  

    The paper presents a method designed to detect and track vehicles on highway in a safety improvement purpose. The goal of this kind of system is to regulate the speed of a vehicle so as to respect safety distances relative to vehicles ahead. The method is exclusively based on monocular computer vision and uses two algorithms. The first one is able to locate the lane borders in the image, and to de... View full abstract»

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  • Temporal sequence recognition using uncertain sensor data

    Publication Year: 2000 , Page(s): WEB5/19 - WEB5/25 vol.2
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (557 KB)  

    The problem addressed in the paper concerns temporal sequence recognition for a dynamic system. Several formal models can be used such as rule based systems, or graphs such as transition graphs or Petri nets in order to describe the sequences to be recognized. Then, according to the inputs obtained from the system's sensors at different times, the goal is to evaluate confidence into the fact that ... View full abstract»

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  • Recent particle filter applied to terrain navigation

    Publication Year: 2000 , Page(s): WEB5/26 - WEB5/33 vol.2
    Cited by:  Papers (1)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (536 KB)  

    A recent particle method, the Local Regularized Rejection Particle Filter L2RPF is applied to terrain navigation. An aircraft periodically measures the relative elevation. By means of a digital elevation map, the goal is to estimate the absolute position and velocity of the aircraft. Moreover, an inertial navigation system (INS) drives the generation of the particles (fusion of L2RPF and the INS).... View full abstract»

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  • Selected problems of MFR resources management

    Publication Year: 2000 , Page(s): WEC1/3 - WEC1/8 vol.2
    Cited by:  Papers (5)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (414 KB)  

    An idea of a Multi Function Radar resource management is described. In this kind of radar, in contrast to classic solutions, a radar controller has to manage a lot of parameters, and particularly resources. Problems of radar resource management and its optimization are described. The multiplicity of limitations connected with resources to use, makes resource management processes very complicated b... View full abstract»

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  • Detection with spatial and temporal optimization of search efforts involving multiple modes and multiple resources management

    Publication Year: 2000 , Page(s): WEC1/9 - WEC116 vol.2
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (821 KB)  

    The paper deals with optimisation of splittable resources aimed at the detection of a moving target, following a Markovian movement or a conditionally deterministic motion. Our work extends S.S. Brown's (1980) spatial optimisation method. By use of a generalised linear formalism, we developed a method for optimizing both spatially and temporally (modeling resource renew), with management of multip... View full abstract»

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  • Analysis of the multisensor multitarget tracking resource allocation problem

    Publication Year: 2000 , Page(s): WEC1/17 - WEC1/22 vol.2
    Cited by:  Papers (2)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (467 KB)  

    The paper deals with a study of the multisensor management problem. The main tool is the classical assignment formulation, using Kullback-Leibler entropy as costs. In order to use the benefit brought by the data fusion, coalitions or pseudosensors must be created at each step of time, creating an exponential calculus of all the possible sensor partitions. We compare this method and a predefinite s... View full abstract»

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  • Study of the temporal allocation of two passive infrared sensors in a multitarget environment

    Publication Year: 2000 , Page(s): WEC1/23 - WEC1/28 vol.2
    Cited by:  Papers (1)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (451 KB)  

    The topic of the paper is the optimization of the management of the lines of sight of two infrared sensors in a multitarget environment. Some general trends for the elaboration of optimal strategies have been underscored by the study of a strategy based on the fusion of these passive sensors. The main result which has been used is the completion principle, that is, the equivalence in Bearing Only ... View full abstract»

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  • A real time pixel-level based image fusion via adaptive weight averaging

    Publication Year: 2000 , Page(s): WEC3/3 - WEC313 vol.2
    Cited by:  Papers (6)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (1255 KB)  

    A novel pixel-level image fusion scheme for thermal and visual images is presented. The image fusion technique rests on physical characteristics of targets deemed of interest in a surveillance scenario. Each picture element (pixel), in both the thermal and visual images, is assigned a weight proportional to the interest associated with it. Interest is defined as "not natural" or "man-made". A weig... View full abstract»

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  • On the effects of sensor noise in pixel-level image fusion performance

    Publication Year: 2000 , Page(s): WEC3/14 - WEC3/19 vol.2
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (474 KB)  

    This paper considers image fusion under the condition that input image quality is reduced by sensor noise. The aim is twofold: i) to develop appropriate metrics which measure the effect of input sensor noise on the performance of a given pixel-level image fusion system and ii) to employ these metrics in a comparative study of the robustness of typical image fusion schemes whose input is corrupted ... View full abstract»

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  • More the merrier...or is it? Sensor suite augmentation benefits assessment

    Publication Year: 2000 , Page(s): WEC3/20 - WEC3/25 vol.2
    Cited by:  Papers (2)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (400 KB)  

    It is often implicitly assumed in the information fusion field that augmentation of a multi-sensor suite with additional sensors de facto enhances overall system performance because of the increase in the data being input to the fusion process. In this study, an explicit assessment of the validity of this assumption is made in terms of delineating the sensor characteristics domain wherein this is ... View full abstract»

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  • Peircean semeiotic: a new engineering paradigm for automatic and adaptive intelligent systems design

    Publication Year: 2000 , Page(s): WEC4/3 - WEC410 vol.2
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (683 KB)  

    The purpose of this paper is to draw the attention of the Information Fusion community to Peircean Semeiotic-as defined by Charles Sanders Peirce. An attempt is made to show that Peircean Semeiotic has potentially a very revolutionary role to play in the further development of information fusion and in the advanced development of Artificial Intelligence, Cognitive Science, Natural Intelligence Sci... View full abstract»

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  • Semeiotic data fusion

    Publication Year: 2000 , Page(s): WEC4/11 - WEC4/16 vol.2
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (634 KB)  

    Standard techniques for data fusion are quantitative in character. Numerical methods, however, are not always suitable for data that are not numerical but rather qualitative and/or relational in character. In Russia Professor Victor K. Finn has developed an approach to data fusion in qualitative contexts that he calls "the JSM Method of Hypothesis Generation". This report is a brief survey of Finn... View full abstract»

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